Client Server Systems

Download A Networking Approach to Grid Computing by Daniel Minoli PDF

By Daniel Minoli

Deriving the grid metaphor from the electrical community of cables and gear stations, grid computing is and extension of the concept that of "computer time sharing" within which the computing setting goals at allowing the choice, sharing, and aggregation of geographically allotted assets in response to various concerns very important to optimizing computing assets. Aiming his quantity at company IT pros, Minoli (managing director, modern Networks integrated) synthesizes the nation of the sphere, protecting such themes as grid advantages; parts and architectures; criteria; deployment matters and ways; grid method economics; and conversation structures for neighborhood, nationwide, and worldwide grids.

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All while increasing productivity? You might think you owned a supercomputer. And in today’s on demand world, it can feel like you need one, just to get the detailed results—always faster, always more accurately—that make you competitive in the marketplace. The good news: IT components you may already own—mainframes, Unix servers, Intel Servers, databases, storage systems, even desktop computers and workstations—harbor enormous, untapped processing and storage power. Power you can easily start pulling together and dedicating to your most pressing business problems.

Customers may achieve potential savings [are as follows]: ț ț ț ț ț ț Deployment costs reduced 30% to 80% Capacity planning costs reduced 5% to 40% Self-adapting technologies reduce management costs 80% to 100% Security costs reduced 20% to 30% Usage metering costs reduced from 4% to 30% Upgrading and migration costs reduced 20% to 40% Clearly, these numbers are very optimistic and may not be achievable in all cases, or even most cases. But they do represent a “stake-in-the-ground” regarding economics by vendors (such as HP in this case).

The World Wide Web is not yet in itself a grid, its open, general-purpose protocols support access to distributed resources but not the coordinated use of those resources to deliver negotiated qualities of service [103]. So, whereas the Web is mainly focused on communication, grid computing enables resource sharing and collaborative resource interplay toward common business goals. Web services provide standard infrastructure for data exchange between two different distributed applications, whereas grids provide an infrastructure for aggregation of high-end resources for solving large-scale problems in science, engineering, and commerce.

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